Triple
T21917393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parbate |
E541214
|
entity |
| Predicate | historicalNameUsedIn |
P145623
|
FINISHED |
| Object | Nepalese court and administration |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nepalese court and administration | Statement: [Parbate, historicalNameUsedIn, Nepalese court and administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalNameUsedIn Context triple: [Parbate, historicalNameUsedIn, Nepalese court and administration]
-
A.
historicalNameGivenBy
Indicates that one entity is the name historically assigned to another entity by a specific source, culture, or period.
-
B.
historicalNameType
Indicates that the relationship specifies the type or category of a historical name associated with an entity.
-
C.
historicalNameInEnglish
Indicates that an entity is associated with a historical English-language name by which it was known in the past.
-
D.
historicalNameUsedInItaly
Indicates that a particular historical name was used within the geographical or cultural context of Italy.
-
E.
historicallyRecognizedAs
Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233858308190a877d8015db4d380 |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 7:43 p.m.